空气源热泵的分层递阶多智能体控制系统

Multi-agent Hierarchically Control System of Air-source Heat Pump

针对空气源热泵机组的制热优势及热水系统当前存在的不能有效利用空气热源和定温制水的问题,创建了空气源热泵分层递阶多智能体的控制结构模型;设计了随环境温度自动设定水箱温度的模糊判定控制器、BP网络根据环境温度和水箱水温优化预测机组启动时间的决策控制器,并用C++编程语言实现了所设计的决策控制系统,提高了机组制热效率,减少了能源浪费,为空气源热泵热水系统的改进提供了新的思路。现场实践证明,此系统大概节约20%的耗电量。

Structure model for multi-agent hierarchically control system of air-source heat pump is established in order to take advantage of air-source heat pump and overcome its present problems that it can＇t utilize the air heat source efficiently and produce water under fixed temperature.A fuzzy determination controller of automatically setting temperature according to environment temperature for water tank,and the decision-maker controller for predicting the start-time for machines optimally by using environment temperature and water temperature in tank with BP network are designed,and is realized with C＋＋ language,which increases the heating efficiency,reduces energy waste,and provides a novel idea for improvement of air-source heat pump.Practice in work field shows that the system saves about 20% power consumption.